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. 2013 Jan 15;1(1):71–90. doi: 10.1007/s40484-013-0005-3

Personal genomes, quantitative dynamic omics and personalized medicine

George I Mias 1, Michael Snyder 1,✉
PMCID: PMC4366006  NIHMSID: NIHMS657306  PMID: 25798291

Abstract

The rapid technological developments following the Human Genome Project have made possible the availability of personalized genomes. As the focus now shifts from characterizing genomes to making personalized disease associations, in combination with the availability of other omics technologies, the next big push will be not only to obtain a personalized genome, but to quantitatively follow other omics. This will include transcriptomes, proteomes, metabolomes, antibodyomes, and new emerging technologies, enabling the profiling of thousands of molecular components in individuals. Furthermore, omics profiling performed longitudinally can probe the temporal patterns associated with both molecular changes and associated physiological health and disease states. Such data necessitates the development of computational methodology to not only handle and descriptively assess such data, but also construct quantitative biological models. Here we describe the availability of personal genomes and developing omics technologies that can be brought together for personalized implementations and how these novel integrated approaches may effectively provide a precise personalized medicine that focuses on not only characterization and treatment but ultimately the prevention of disease.

Keywords: Personalized Medicine, Exome Sequencing, Respiratory Syncytial Virus Infection, Personal Genome, National Human Genome Research Institute

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